Correlation Between Bhiraj Office and Communication System
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By analyzing existing cross correlation between Bhiraj Office Leasehold and Communication System Solution, you can compare the effects of market volatilities on Bhiraj Office and Communication System and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bhiraj Office with a short position of Communication System. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bhiraj Office and Communication System.
Diversification Opportunities for Bhiraj Office and Communication System
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bhiraj and Communication is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Bhiraj Office Leasehold and Communication System Solution in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Communication System and Bhiraj Office is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Bhiraj Office Leasehold are associated (or correlated) with Communication System. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Communication System has no effect on the direction of Bhiraj Office i.e., Bhiraj Office and Communication System go up and down completely randomly.
Pair Corralation between Bhiraj Office and Communication System
Assuming the 90 days trading horizon Bhiraj Office Leasehold is expected to under-perform the Communication System. But the stock apears to be less risky and, when comparing its historical volatility, Bhiraj Office Leasehold is 44.75 times less risky than Communication System. The stock trades about -0.05 of its potential returns per unit of risk. The Communication System Solution is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 140.00 in Communication System Solution on September 24, 2024 and sell it today you would lose (56.00) from holding Communication System Solution or give up 40.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bhiraj Office Leasehold vs. Communication System Solution
Performance |
Timeline |
Bhiraj Office Leasehold |
Communication System |
Bhiraj Office and Communication System Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bhiraj Office and Communication System
The main advantage of trading using opposite Bhiraj Office and Communication System positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bhiraj Office position performs unexpectedly, Communication System can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Communication System will offset losses from the drop in Communication System's long position.Bhiraj Office vs. Jay Mart Public | Bhiraj Office vs. Krungthai Card Public | Bhiraj Office vs. The Erawan Group | Bhiraj Office vs. Autocorp Holding Public |
Communication System vs. Land and Houses | Communication System vs. CH Karnchang Public | Communication System vs. Krung Thai Bank | Communication System vs. Bangkok Bank Public |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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